{"id":"W2165703831","doi":"10.1109/aps.1994.407895","title":"3D-TLM techniques for field-based optimization of electromagnetic structures","year":2002,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Electromagnetic field; Computer science; Computational electromagnetics; Field (mathematics); Transmission-line matrix method; Electromagnetics; Electromagnetic compatibility; Electronic engineering; Physics; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004540121,0.00008265355,0.0001209094,0.00007104329,0.00001717708,0.000007265348,0.0000630716,0.00006874513,0.001512795],"category_scores_gemma":[0.00007606151,0.00007550788,0.00004223534,0.0001494962,0.00001060731,0.00002457634,0.000002709072,0.00004744538,7.5512e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001102442,"about_ca_system_score_gemma":0.000002594647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002726907,"about_ca_topic_score_gemma":4.7752e-7,"domain_scores_codex":[0.9995349,0.00001753461,0.0001667307,0.00008245128,0.00006521248,0.0001331754],"domain_scores_gemma":[0.9995712,0.0002301196,0.00002025672,0.0001094811,0.00004037327,0.00002856254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002912644,0.00004773747,0.00005206516,0.0001497232,0.0000260591,3.225807e-7,0.00003833304,0.5687561,0.1396347,0.001977536,0.004429018,0.2848592],"study_design_scores_gemma":[0.0001507571,0.0004495738,0.00002962109,0.000003296864,0.00000874425,4.348206e-7,7.730262e-7,0.7526796,0.2454127,0.0005389028,0.0006512676,0.00007432875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003550215,0.0001954611,0.9838505,0.00009642454,0.00004213157,0.0002232609,0.000001193803,0.0003154336,0.01172538],"genre_scores_gemma":[0.3786862,0.00001885059,0.6209722,0.0001274123,0.00002233775,0.00002188183,0.000002805275,0.00001380885,0.0001345191],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.375136,"threshold_uncertainty_score":0.9994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222352949588898,"score_gpt":0.2539439820077933,"score_spread":0.2417204525119043,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}